Estimation theory.
Overview
Works: | 107 works in 21 publications in 21 languages |
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Titles
Optimal control and stochastic estimation : = theory and applications /
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Multivariate density estimation : = theory, practice, and visualization /
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Estimation in semiparametric models : = some recent developments /
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Methods of moments and semiparametric econometrics for limited dependent and variable models /
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Information bounds and nonparametric maximum likelihood estimation /
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Missing Data and Small-Area Estimation = Modern Analytical Equipment for the Survey Statistician /
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Nonparametric curve estimation = methods, theory and applications /
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Multivariate density estimation : = theory, practice, and visualization /
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Algorithms of estimation for nonlinear systems = a differential and algebraic viewpoint /
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Statistical information and likelihood : = a collection of critical essays /
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Asymptotic efficiency of statistical estimators : = concepts and higher order asymptotic efficiency /
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Lessons in estimation theory for signal processing, communications, and control /
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Nonparametric curve estimation = methods, theory and applications /
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The stress-strength model and its generalizations = theory and applications /
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Indefinite-quadratic estimation and control = a unified approach to H2 and H [infinity] theories /
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Applied adaptive statistical methods = tests of significance and confidence intervals /
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A comparison of the bayesian and frequentist approaches to estimation
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Extreme science : = from nano to galactic : investigations for grades 6-12 /
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Maximum likelihood estimation and inference : = with examples in R, SAS, and ADMB /
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Recent advances in estimating nonlinear models = with applications in economics and finance /
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Estimation and testing under sparsity : = École d'été de probabilités de Saint-Flour XLV -- 2015 /
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Estimation and testing under sparsity = Ecole d'Ete de probabilites de Saint-Flour XLV - 2015 /
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Algorithms and programs of dynamic mixture estimation = unified approach to different types of components /
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Uncertainty management for robust industrial design in aeronautics = findings and best practice collected during UMRIDA, a collaborative research project (2013-2016), funded by the European Union /
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Sparse estimation with math and python = 100 exercises for building logic /
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Data assimilation fundamentals = a unified formulation of the state and parameter estimation problem /
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